IDEAS home Printed from https://ideas.repec.org/p/unm/unumer/2020021.html
   My bibliography  Save this paper

Ph.D. research output in STEM: the role of gender and race in supervision

Author

Listed:
  • Rossello, Giulia

    (UNU-MERIT, Maastricht University)

  • Cowan, Robin

    (UNU-MERIT, Maastricht University, BETA, Universite de Strasbourg, IUF Descartes, and CREST, Stellenbosch University.)

  • Mairesse, Jacques

    (UNU-MERIT, Maastricht University, CREST-ENSAE, and NBER)

Abstract

We study whether student-advisor gender and race couples matter for publication productivity of Ph.D. students in South Africa. We consider the sample of all Ph.D.s in STEM graduating between 2000 and 2014, after the recent systematic introduction of doctoral programs in this country. We investigate the joint effects of gender and race for the whole sample and looking separately at the sub-samples of (1) whitewhite; (2) black-black; and (3) black-white student-advisor couples. We find early career productivity differences: while female students publish on average 10% to 20% fewer articles than males, this is true mainly for female students working with a male advisor, not for those working with a female one. These disparities are similar, though more pronounced, when looking at the joint effects of gender and race for the white-white and black-black student-advisor pairs. We also explore whether publication productivity differences change significantly for students with a high, medium, or low 'productivity-profile', and find that they are U-shaped. Female students with a high (or low) 'productivity-profile' studying with female advisors are as productive than male students with a high (or low) 'productivity-profile' studying with male advisors.

Suggested Citation

  • Rossello, Giulia & Cowan, Robin & Mairesse, Jacques, 2020. "Ph.D. research output in STEM: the role of gender and race in supervision," MERIT Working Papers 2020-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    • Handle: RePEc:unm:unumer:2020021
    as

    Download full text from publisher

    File URL: https://unu-merit.nl/publications/wppdf/2020/wp2020-021.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Jian & Veugelers, Reinhilde & Stephan, Paula, 2017. "Bias against novelty in science: A cautionary tale for users of bibliometric indicators," Research Policy, Elsevier, vol. 46(8), pages 1416-1436.
    2. Gaule, Patrick & Piacentini, Mario, 2018. "An advisor like me? Advisor gender and post-graduate careers in science," Research Policy, Elsevier, vol. 47(4), pages 805-813.
    3. Gonzalez Sauri, Mario & Rossello, Giulia, 2019. "The role of early-career university prestige stratification on the future academic performance of scholars," MERIT Working Papers 2019-018, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Stijn Kelchtermans & Reinhilde Veugelers, 2011. "The great divide in scientific productivity: why the average scientist does not exist," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(1), pages 295-336, February.
    5. Annamaria Conti & Fabiana Visentin, 2015. "Science and Engineering Ph.D. Students’ Career Outcomes, by Gender," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-15, August.
    6. Pierre Azoulay & Joshua S. Graff Zivin & Gustavo Manso, 2011. "Incentives and creativity: evidence from the academic life sciences," RAND Journal of Economics, RAND Corporation, vol. 42(3), pages 527-554, September.
    7. Verhoeven, Dennis & Bakker, Jurriën & Veugelers, Reinhilde, 2016. "Measuring technological novelty with patent-based indicators," Research Policy, Elsevier, vol. 45(3), pages 707-723.
    8. Calzada Olvera, Beatriz & Iizuka, Michiko, 2020. "How does innovation take place in the mining industry? : Understanding the logic behind innovation in a changing context," MERIT Working Papers 2020-019, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Michele Pezzoni & Jacques Mairesse & Paula Stephan & Julia Lane, 2016. "Gender and the Publication Output of Graduate Students: A Case Study," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-12, January.
    10. Gaule, Patrick & Piacentini, Mario, 2017. "An Advisor Like Me? Advisor Gender and Post-Graduate Careers in Science," IZA Discussion Papers 10828, Institute of Labor Economics (IZA).
    11. Lorena Rivera León & Jacques Mairesse & Robin Cowan, 2017. "Gender Gaps and Scientific Productivity in Middle-Income Countries: Evidence from Mexico," IDB Publications (Working Papers) 98456, Inter-American Development Bank.
    12. Nchinda, Thomas C., 2002. "Research capacity strengthening in the South," Social Science & Medicine, Elsevier, vol. 54(11), pages 1699-1711, June.
    13. Robin Cowan & Giulia Rossello, 2018. "Emergent structures in faculty hiring networks, and the effects of mobility on academic performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 527-562, October.
    14. Lerchenmueller, Marc J. & Sorenson, Olav, 2018. "The gender gap in early career transitions in the life sciences," Research Policy, Elsevier, vol. 47(6), pages 1007-1017.
    15. Rivera León, Lorena & Mairesse, Jacques & Cowan, Robin, 2017. "Gender Gaps and Scientific Productivity in Middle-Income Countries: Evidence from Mexico," IDB Publications (Working Papers) 8243, Inter-American Development Bank.
    16. Jacques Mairesse & Michele Pezzoni & Fabiana Visentin, 2019. "Impact of family characteristics on the gender publication gap: evidence for physicists in France," Post-Print hal-02360599, HAL.
    17. Chen, Chaomei & Chen, Yue & Horowitz, Mark & Hou, Haiyan & Liu, Zeyuan & Pellegrino, Donald, 2009. "Towards an explanatory and computational theory of scientific discovery," Journal of Informetrics, Elsevier, vol. 3(3), pages 191-209.
    18. Eric P. Bettinger & Bridget Terry Long, 2005. "Do Faculty Serve as Role Models? The Impact of Instructor Gender on Female Students," American Economic Review, American Economic Association, vol. 95(2), pages 152-157, May.
    19. Rossello, Giulia & Cowan, Robin, 2019. "Far from random? : The role of homophily in student supervision," MERIT Working Papers 2019-024, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    20. Luke Holman & Devi Stuart-Fox & Cindy E Hauser, 2018. "The gender gap in science: How long until women are equally represented?," PLOS Biology, Public Library of Science, vol. 16(4), pages 1-20, April.
    21. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    22. Marieke Brink & Yvonne Benschop, 2014. "Gender in Academic Networking: The Role of Gatekeepers in Professorial Recruitment," Journal of Management Studies, Wiley Blackwell, vol. 51(3), pages 460-492, May.
    23. Chuang, Kun-Yang & Ho, Yuh-Shan, 2014. "Bibliometric profile of top-cited single-author articles in the Science Citation Index Expanded," Journal of Informetrics, Elsevier, vol. 8(4), pages 951-962.
    24. Mohsen Jadidi & Fariba Karimi & Haiko Lietz & Claudia Wagner, 2018. "Gender Disparities In Science? Dropout, Productivity, Collaborations And Success Of Male And Female Computer Scientists," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(03n04), pages 1-23, May.
    25. Weihua Li & Tomaso Aste & Fabio Caccioli & Giacomo Livan, 2019. "Early coauthorship with top scientists predicts success in academic careers," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    26. Kevin J. Boudreau & Eva C. Guinan & Karim R. Lakhani & Christoph Riedl, 2016. "Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science," Management Science, INFORMS, vol. 62(10), pages 2765-2783, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Corsini, Alberto & Pezzoni, Michele & Visentin, Fabiana, 2022. "What makes a productive Ph.D. student?," Research Policy, Elsevier, vol. 51(10).
    2. Rossello, Giulia & Martinelli, Arianna, 2023. "Breach of academic values and digital deviant behaviour: The case of Sci-Hub," MERIT Working Papers 2023-009, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Giulia Rossello & Robin Cowan & Jacques Mairesse, 2024. "Ph.D. publication productivity: the role of gender and race in supervision in South Africa," Journal of Productivity Analysis, Springer, vol. 61(3), pages 215-227, June.
    2. Graddy-Reed, Alexandra & Lanahan, Lauren & Eyer, Jonathan, 2019. "Gender discrepancies in publication productivity of high-performing life science graduate students," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    3. Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
    4. Sotaro Shibayama & Deyun Yin & Kuniko Matsumoto, 2021. "Measuring novelty in science with word embedding," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
    5. Wang, Jian & Veugelers, Reinhilde & Stephan, Paula, 2017. "Bias against novelty in science: A cautionary tale for users of bibliometric indicators," Research Policy, Elsevier, vol. 46(8), pages 1416-1436.
    6. Albert Banal-Estañol & Ines Macho-Stadler & David Pérez-Castrillo, 2016. "Key Success Drivers in Public Research Grants: Funding the Seeds of Radical Innovation in Academia?," CESifo Working Paper Series 5852, CESifo.
    7. Nicolas Carayol, 2016. "The Right Job and the Job Right: Novelty, Impact and Journal Stratification in Science," Post-Print hal-02274661, HAL.
    8. Chai, Sen & Menon, Anoop, 2019. "Breakthrough recognition: Bias against novelty and competition for attention," Research Policy, Elsevier, vol. 48(3), pages 733-747.
    9. Pezzoni, Michele & Veugelers, Reinhilde & Visentin, Fabiana, 2022. "How fast is this novel technology going to be a hit? Antecedents predicting follow-on inventions," Research Policy, Elsevier, vol. 51(3).
    10. Auschra, Carolin & Bartosch, Julia & Lohmeyer, Nora, 2022. "Differences in female representation in leading management and organization journals: Establishing a benchmark," Research Policy, Elsevier, vol. 51(3).
    11. Lu Liu & Benjamin F. Jones & Brian Uzzi & Dashun Wang, 2023. "Data, measurement and empirical methods in the science of science," Nature Human Behaviour, Nature, vol. 7(7), pages 1046-1058, July.
    12. Libo Sheng & Dongqing Lyu & Xuanmin Ruan & Hongquan Shen & Ying Cheng, 2023. "The association between prior knowledge and the disruption of an article," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4731-4751, August.
    13. Mouganie, Pierre & Canaan, Serena, 2019. "Female science advisors and the STEM gender gap," MPRA Paper 94196, University Library of Munich, Germany.
    14. Banal-Estañol, Albert & Macho-Stadler, Inés & Pérez-Castrillo, David, 2019. "Evaluation in research funding agencies: Are structurally diverse teams biased against?," Research Policy, Elsevier, vol. 48(7), pages 1823-1840.
    15. Bornmann, Lutz & Tekles, Alexander & Zhang, Helena H. & Ye, Fred Y., 2019. "Do we measure novelty when we analyze unusual combinations of cited references? A validation study of bibliometric novelty indicators based on F1000Prime data," Journal of Informetrics, Elsevier, vol. 13(4).
    16. Hou, Jianhua & Wang, Dongyi & Li, Jing, 2022. "A new method for measuring the originality of academic articles based on knowledge units in semantic networks," Journal of Informetrics, Elsevier, vol. 16(3).
    17. Guo, Liying & Wang, Yang & Li, Meiling, 2024. "Exploration, exploitation and funding success: Evidence from junior scientists supported by the Chinese Young Scientists Fund," Journal of Informetrics, Elsevier, vol. 18(2).
    18. Muscio, Alessandro & Vallanti, Giovanna, 2024. "The gender gap in PhD entrepreneurship: Why balancing employment in academia really matters," Research Policy, Elsevier, vol. 53(1).
    19. Rodrigo Sánchez-Jiménez & Iuliana Botezan & Jesús Barrasa-Rodríguez & Mari Carmen Suárez-Figueroa & Manuel Blázquez-Ochando, 2023. "Gender imbalance in doctoral education: an analysis of the Spanish university system (1977–2021)," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2577-2599, April.
    20. Andrew Hussey & Sheena Murray & Wendy Stock, 2022. "Gender, coauthorship, and academic outcomes in economics," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 465-484, April.

    More about this item

    Keywords

    Gender and race; Student Advisor; South Africa; Doctoral research; research productivity; Role models;
    All these keywords.

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:unm:unumer:2020021. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ad Notten (email available below). General contact details of provider: https://edirc.repec.org/data/meritnl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.